IP Library › Granted Patent US 8,416,988
Granted Patent B2
US 8,416,988 · App. 12/646,211 · Granted Apr 9, 2013

Systems and methods for analyzing facial expressions, identifying intent and transforming images through review of facial expressions

Inventors: David Matsumoto (Oakland, CA); Paul Ekman (San Francisco, CA)
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Quick Facts
Patent No.
US 8,416,988
App. No.
12/646,211
Granted
Apr 9, 2013
Kind
B2
Abstract

Methods of analyzing a plurality of facial expressions are disclosed that include: identifying a subject person, utilizing the subject person to create an image of a known target, removing at least one distracter expression from the target image to form a revised target image, and reviewing the revised target image with at least one third party participant to form a final target image. Additional methods of analyzing a plurality of facial expressions include: identifying a subject person, utilizing the subject person to create an image of a known target, digitizing the target image, removing at least one distracter expression from the target image to transform the target image to a revised target image, and reviewing the revised target image with at least one third party participant to transform the revised target image to a final target image. Software for implementing contemplated methods include: a set speed function, a pre-test phase function, an instruction phase function, a practice phase function, and a post-test phase function.

Claims (49)

1. A method of creating and analyzing a plurality of facial expressions, comprising:

identifying a subject person,

utilizing the subject person to create an image of a known target,

removing at least one distracter expression from the target image to form a revised target image,

reviewing the revised target image with at least one third party participant to form a final target image;

presenting, by a computer, a user with multiple target images depicting a facial expression, wherein the multiple target images include images of dangerous intent and images of non-dangerous intent, and wherein the multiple target images include the final target image;

receiving, by the computer, a response from the user, wherein the response indicates whether or not the facial expression depicted in each target image of the multiple target images depicts a dangerous intent facial expression;

determining, by the computer, whether the response is correct or incorrect;

tracking, by the computer, a total number of correct and incorrect responses from the user; and

displaying, by the computer, the total number of correct and incorrect responses to the user.

2. The method of claim 1 , wherein the subject person is a crime victim.

3. The method of claim 2 , wherein the crime victim is an assault victim.

4. The method of claim 1 , wherein the known target is the criminal.

5. The method of claim 4 , wherein the criminal is an attacker.

6. The method of claim 1 , further comprising identifying at least one key feature in the final target image that depicts target intent.

7. The method of claim 6 , wherein the target intent comprises dangerous intent.

8. The method of claim 1 , further comprising comparing the final target image to at least one comparison image.

9. The method of claim 1 , wherein utilizing the subject person to create an image of a known target includes digitizing the image.

10. A method of creating and analyzing a plurality of facial expressions, comprising:

identifying a subject person,

utilizing the subject person to create a target image of a known target,

digitizing the target image,

removing at least one distracter expression from the target image to transform the target image to a revised target image,

reviewing the revised target image with at least one third party participant to transform the revised target image to a final target image;

presenting, by the computer, a user with multiple target images depicting a facial expression, wherein the multiple target images include images of dangerous intent and images of non-dangerous intent, and wherein the multiple target images include the final target image;

receiving, by the computer, a response from the user, wherein the response indicates whether or not the facial expression depicted in each target image of the multiple target images depicts a dangerous intent facial expression;

determining, by the computer, whether the response is correct or incorrect;

tracking, by the computer, a total number of correct and incorrect responses from the user; and

displaying, by the computer, the total number of correct and incorrect responses to the user.

11. The method of claim 10 , wherein the subject person is a crime victim.

12. The method of claim 11 , wherein the crime victim is an assault victim.

13. The method of claim 10 , wherein the known target is the criminal.

14. The method of claim 13 , wherein the criminal is an attacker.

15. The method of claim 10 , further comprising identifying at least one key feature in the final target image that depicts target intent.

16. The method of claim 15 , wherein the target intent comprises dangerous intent.

17. The method of claim 10 , further comprising comparing the final target image to at least one comparison image.

18. The method of claim 10 , wherein utilizing the subject person to create an image of a known target includes digitizing the image.

19. An executable software for implementing the method of one of claim 1 or 10 , embodied on a non-transitory computer-readable medium, the executable software comprising:

a set speed function, a pre-test phase function, an instruction phase function, a practice phase function, and

a post-test phase function.

20. A system comprising a computer for executing the executable software of claim 11 .

21. A method of analyzing a plurality of facial expressions, comprising:

presenting, by a computer, a user with multiple target images depicting a facial expression, wherein the multiple target images include images of dangerous intent and images of non-dangerous intent;

receiving, by the computer, a response from the user, wherein the response indicates whether or not the facial expression displayed in each target image of the multiple target images depicts a dangerous intent facial expression;

determining, by the computer, whether the response is correct or incorrect;

tracking, by the computer, a total number of correct and incorrect responses from the user; and

displaying, by the computer, the total number of correct and incorrect responses to the user.

22. The method of claim 21 , further comprising:

providing the user with instructions for identifying dangerous intent facial expressions, wherein the instructions comprise a depiction of dangerous intent facial expressions, and wherein the instructions contrast the dangerous intent facial expression depictions with a depiction of distracter facial expressions.

Continuity (2)
Provisional Application 61203592 · Dec 24, 2008
Related Publication 20110026779A1 · Feb 3, 2011